Technical guides, infrastructure prerequisites, API reference specifications, and deployment blueprints for AIConnect’s enterprise AI agent platform.
To deploy and operate AIConnect agent infrastructure in production or on local workstations, ensure your environment satisfies the following baseline requirements:
Fine-tuned Whisper v3 model architecture, sub-100ms streaming WebSockets, PyAnnote speaker diarization, and real-time PII redaction pipelines.
Air-gapped desktop automation, quantized Ollama local model execution, sqlite-vec embedded vector search, and zero-cloud data privacy compliance.
LangGraph cyclic state graph orchestration, ReAct tool binding schemas, persistent Redis state checkpointers, and Human-in-the-Loop validation gates.
EventBridge-triggered Amazon Bedrock agents, Boto3 telemetry diagnostic workers, automated HCL Terraform patch generation, and closed-loop auto-remediation.
Continuous IAM policy minimization via AWS Access Analyzer, automated SOC2 compliance auditing, AWS Cost Explorer spot rightsizing, and OPA policy testing.
High-throughput AWS Glue PySpark streaming, OpenSearch Serverless hybrid BM25 + k-NN search, Cohere cross-encoder reranking, and S3 Iceberg data lakes.
Initialize local agent test harness or verify AWS Bedrock permissions
# 1. Verify local Ollama and SQLite-Vec vector extension
ollama run llama3.3:8b-instruct-q4_K_M "Test local AI response"
✓ Ollama local HTTP endpoint active at http://localhost:11434
# 2. Test AWS Bedrock Agent invocation via Boto3
aws bedrock-agent-runtime invoke-agent --agent-id AGENT12345 --agent-alias-id TSTALIASID --session-id test-01 --input-text "Audit S3 buckets"
✓ Agent execution trajectory completed with 0 errors.